Safety in automated driving (ADS): modelling interaction between road-users and automated vehicles
Background: Automated driving promises safer roads; however, the interaction between automated vehicles and people poses significant safety challenges, especially in a mixed environment where not all vehicles are fully automated. These issues have a strong human factors component, although rooted in the engineering of automated vehicles. This project focused on high-risk scenarios which are particularly important to automated driving and have not been the main target for road-user modelling so far.
The purpose of this project is to contribute to sustainable transport by promoting automated vehicle safety, leveraging on an interdisciplinary network of national and international world-leading researchers, and focusing on modelling the interaction between autonomous vehicles and people.
The objectives of this project are to:
• [Research] – develop quantitative models of road-user behavior in relation to high-risk situations in automated-driving.
• [Collaboration] – collaborate with key international (UMTRI, MIT, and U. of Wisconsin) and national (GU and Chalmers, M2, E2, and CSE) researchers.
• [Education] – enable knowledge transfer to Master courses and Master’s theses at Chalmers and GU, which is one of the main prerequisites for SOT funding at GU.
• [Utilization] – offer open-innovation to society in the form of open-source code, analysis procedures, and GUIs for human factor engineering analyses. Promote dissemination of results from automated driving research at Chalmers, though seminars from international guests.
• [Publications] – co-author papers on high-impact journal with world leading researchers.
Marco Dozza (contact)
Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Senior Researcher at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Associate Professor at Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Cyber Physical Systems
Giulio Bianchi Piccinini
Associate Professor at Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Associate Professor at Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Full Professor at Chalmers, Electrical Engineering, Communication and Antenna Systems
Funding Chalmers participation during 2018–2019
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